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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2021.786146</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence, Risk Factors, and Genetic Characterization of Extended-Spectrum Beta-Lactamase <italic>Escherichia coli</italic> Isolated From Healthy Pregnant Women in Madagascar</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Milenkov</surname> <given-names>Milen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1495428/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rasoanandrasana</surname> <given-names>Saida</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1574539/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rahajamanana</surname> <given-names>Lalaina Vonintsoa</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1541473/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rakotomalala</surname> <given-names>Rivo Solo</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Razafindrakoto</surname> <given-names>Catherine Ainamalala</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Rafalimanana</surname> <given-names>Christian</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ravelomandranto</surname> <given-names>Emile</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ravaoarisaina</surname> <given-names>Zakasoa</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Westeel</surname> <given-names>Emilie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/633695/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Petitjean</surname> <given-names>Marie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/386620/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mullaert</surname> <given-names>Jimmy</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Clermont</surname> <given-names>Olivier</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Raskine</surname> <given-names>Laurent</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Samison</surname> <given-names>Luc Herv&#x00E9;</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1574917/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Endtz</surname> <given-names>Hubert</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/41546/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Andremont</surname> <given-names>Antoine</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Denamur</surname> <given-names>Erick</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Komurian-Pradel</surname> <given-names>Florence</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/603182/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Armand-Lefevre</surname> <given-names>Laurence</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1314132/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Fondation M&#x00E9;rieux</institution>, <addr-line>Lyon</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>Universit&#x00E9; de Paris, IAME, INSERM UMR 1137</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff3"><sup>3</sup><institution>Laboratoire de Bact&#x00E9;riologie, CHU Joseph Raseta Befelatanana, RESAMAD Network</institution>, <addr-line>Antananarivo</addr-line>, <country>Madagascar</country></aff>
<aff id="aff4"><sup>4</sup><institution>Laboratoire de Bact&#x00E9;riologie, CHU M&#x00E8;re-Enfant Tsaralalana, RESAMAD Network</institution>, <addr-line>Antananarivo</addr-line>, <country>Madagascar</country></aff>
<aff id="aff5"><sup>5</sup><institution>Laboratoire de Bact&#x00E9;riologie, CHU PZaGa Androva, RESAMAD Network</institution>, <addr-line>Mahajanga</addr-line>, <country>Madagascar</country></aff>
<aff id="aff6"><sup>6</sup><institution>Laboratoire de Bact&#x00E9;riologie, CHU Morafeno, RESAMAD Network</institution>, <addr-line>Toamasina</addr-line>, <country>Madagascar</country></aff>
<aff id="aff7"><sup>7</sup><institution>Laboratoire de Bact&#x00E9;riologie, CHU Joseph Ravoahangy Andrianavalona, RESAMAD Network</institution>, <addr-line>Antananarivo</addr-line>, <country>Madagascar</country></aff>
<aff id="aff8"><sup>8</sup><institution>Laboratoire de Bact&#x00E9;riologie, CHRR Alaotra Mangoro, RESAMAD Network</institution>, <addr-line>Ambatondrazaka</addr-line>, <country>Madagascar</country></aff>
<aff id="aff9"><sup>9</sup><institution>CHU M&#x00E8;re Enfant Ambohimiandra, RESAMAD Network</institution>, <addr-line>Antananarivo</addr-line>, <country>Madagascar</country></aff>
<aff id="aff10"><sup>10</sup><institution>Centre d&#x2019;Infectiologie Charles M&#x00E9;rieux, University of Antananarivo</institution>, <addr-line>Antananarivo</addr-line>, <country>Madagascar</country></aff>
<aff id="aff11"><sup>11</sup><institution>Department of Medical Microbiology and Infectious Diseases, Erasmus MC</institution>, <addr-line>Rotterdam</addr-line>, <country>Netherlands</country></aff>
<aff id="aff12"><sup>12</sup><institution>Laboratoire de G&#x00E9;n&#x00E9;tique Mol&#x00E9;culaire, H&#x00F4;pital Bichat-Claude Bernard, AP-HP Nord-Universit&#x00E9; de Paris</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff13"><sup>13</sup><institution>Laboratoire de Bact&#x00E9;riologie, H&#x00F4;pital Bichat-Claude Bernard, AP-HP Nord-Universit&#x00E9; de Paris</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Catherine Neuwirth, Centre Hospitalier Regional Universitaire De Dijon, France</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ben Pascoe, University of Bath, United Kingdom; Xiaogang Xu, Fudan University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Milen Milenkov, <email>milen.milenkov@fondation-merieux.org</email></corresp>
<corresp id="c002">Laurence Armand-Lefevre, <email>laurence.armand@aphp.fr</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Antimicrobials, Resistance and Chemotherapy, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>786146</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Milenkov, Rasoanandrasana, Rahajamanana, Rakotomalala, Razafindrakoto, Rafalimanana, Ravelomandranto, Ravaoarisaina, Westeel, Petitjean, Mullaert, Clermont, Raskine, Samison, Endtz, Andremont, Denamur, Komurian-Pradel and Armand-Lefevre.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Milenkov, Rasoanandrasana, Rahajamanana, Rakotomalala, Razafindrakoto, Rafalimanana, Ravelomandranto, Ravaoarisaina, Westeel, Petitjean, Mullaert, Clermont, Raskine, Samison, Endtz, Andremont, Denamur, Komurian-Pradel and Armand-Lefevre</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Antimicrobial resistance is a major public health concern worldwide affecting humans, animals and the environment. However, data is lacking especially in developing countries. Thus, the World Health Organization developed a One-Health surveillance project called Tricycle focusing on the prevalence of ESBL-producing <italic>Escherichia</italic> co<italic>li</italic> in humans, animals, and the environment. Here we present the first results of the human community component of Tricycle in Madagascar. From July 2018 to April 2019, rectal swabs from 492 pregnant women from Antananarivo, Mahajanga, Ambatondrazaka, and Toamasina were tested for ESBL-<italic>E. coli</italic> carriage. Demographic, sociological and environmental risk factors were investigated, and <italic>E. coli</italic> isolates were characterized (antibiotic susceptibility, resistance and virulence genes, plasmids, and genomic diversity). ESBL-<italic>E. coli</italic> prevalence carriage in pregnant women was 34% varying from 12% (Toamasina) to 65% (Ambatondrazaka). The main risk factor associated with ESBL<italic>-E. coli</italic> carriage was the rainy season (OR = 2.9, 95% CI 1.3&#x2013;5.6, <italic>p</italic> = 0.009). Whole genome sequencing was performed on 168 isolates from 144 participants. <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub> was the most frequent ESBL gene (86%). One isolate was resistant to carbapenems and carried the <italic>bla</italic><sub><italic>NDM&#x2013;</italic>5</sub> gene. Most isolates belonged to commensalism associated phylogenetic groups A, B1, and C (90%) and marginally to extra-intestinal virulence associated phylogenetic groups B2, D and F (10%). Multi locus sequence typing showed 67 different sequence types gathered in 17 clonal complexes (STc), the most frequent being STc10/phylogroup A (35%), followed distantly by the emerging STc155/phylogroup B1 (7%), STc38/phylogroup D (4%) and STc131/phylogroup B2 (3%). While a wide diversity of clones has been observed, SNP analysis revealed several genetically close isolates (<italic>n</italic> = 34/168) which suggests human-to-human transmissions. IncY plasmids were found with an unusual prevalence (23%), all carrying a <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub>. Most of them (85%) showed substantial homology (&#x2265;85%) suggesting a dissemination of IncY ESBL plasmids in Madagascar. This large-scale study reveals a high prevalence of ESBL-<italic>E. coli</italic> among pregnant women in four cities in Madagascar associated with warmth and rainfall. It shows the great diversity of <italic>E. coli</italic> disseminating throughout the country but also transmission of specific clones and spread of plasmids. This highlights the urgent need of public-health interventions to control antibiotic resistance in the country.</p>
</abstract>
<kwd-group>
<kwd>extended-spectrum beta-lactamase (ESBL)</kwd>
<kwd><italic>E. coli</italic></kwd>
<kwd>digestive carriage</kwd>
<kwd>epidemiology</kwd>
<kwd>whole genome sequencing</kwd>
<kwd>Madagascar</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="16"/>
<word-count count="9381"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Antimicrobial resistance (AMR) has become a tremendous global public health issue, which affects humans, animals and the environment. One of the major threats today is the worldwide dissemination of multi-drug resistant bacteria, particularly the extended-spectrum beta-lactamase (ESBL)-producing <italic>Enterobacterales</italic> (ESBL-E) (<xref ref-type="bibr" rid="B30">Lynch et al., 2013</xref>). Indeed, since the 2000s the incidence of ESBL-E has been steadily increasing in the community especially in middle- and low-income countries (<xref ref-type="bibr" rid="B56">Woerther et al., 2013</xref>). A meta-analysis conducted in 2016 estimated that 14% of healthy individuals worldwide were carriers of ESBL-E (<xref ref-type="bibr" rid="B23">Karanika et al., 2016</xref>). However, large regional disparities can be observed, with an estimated prevalence of 5% in Europe, 20% around the Mediterranean basin and in Africa, 50% in the Pacific and 70% in South-East Asia (<xref ref-type="bibr" rid="B55">Woerther et al., 2011</xref>; <xref ref-type="bibr" rid="B23">Karanika et al., 2016</xref>). An important cornerstone in the control of AMR is the implementation and monitoring of AMR surveillance indicators [<xref ref-type="bibr" rid="B57">World Health Organization [WHO], 2015</xref>]. In this context, the World Health Organization (WHO) proposed a surveillance protocol called Tricycle aiming to provide a simplified, integrated and <italic>trans</italic>-sectoral surveillance system. The proposed surveillance focuses on a single key indicator, the prevalence of ESBL-<italic>Escherichia coli</italic>, in the three major settings that are the human (community carriage and hospital infection), the food-chain (poultry) and the environment (water). <italic>E. coli</italic> was chosen as the target organism because it is a commensal of the gut of all humans and a wide variety of warm-blooded animals, and is also widespread in the environment (<xref ref-type="bibr" rid="B42">Savageau, 1983</xref>), but primarily because infections with ESBL-<italic>E. coli</italic> in humans, result in severe morbidity and mortality (<xref ref-type="bibr" rid="B44">Schwaber and Carmeli, 2007</xref>). For the human component of the Tricycle protocol, the population targeted as representative of the community was healthy pregnant women approaching or at delivery.</p>
<p>Thanks to a structured laboratory network (RESAMAD), the Tricycle protocol was implemented in Madagascar in 2018 by Fondation M&#x00E9;rieux to support the implementation of a functional National Action Plan on AMR. The need for such a surveillance system in the country was urgent as data on AMR were sparce and the few studies conducted previously reported increasing ESBL-E rates in the community, going from 10.1% in 2010 (<xref ref-type="bibr" rid="B18">Herindrainy et al., 2011</xref>) to 18.5% in 2014 (<xref ref-type="bibr" rid="B8">Chereau et al., 2015</xref>).</p>
<p>Here we report the first results from the human community component of the Tricycle protocol in Madagascar, describing ESBL-<italic>E. coli</italic> carriage and its associated risk factors among healthy pregnant women. We also investigated the genomic characteristics of isolated strains such as presence of resistance and virulence genes, plasmids and their genomic diversity.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Design</title>
<p>The present study was conducted in the context of the Tricycle <italic>trans</italic>-sectoral surveillance project, approved by the Ethics Committee of Ministry of Health, Madagascar (038-MSANP/CERBM). Healthy pregnant women were enrolled from July 2018 to April 2019 after signing a written informed consent. Rectal swabs were collected at the last prenatal consultation in three maternity wards in the capital city Antananarivo [Joseph Raseta Befelatanana Hospital (JRB) &#x2013; July&#x2013;August 2018, M&#x00E8;re-Enfant Tsaralalana Hospital (TSA) &#x2013; July&#x2013;October 2018, and Joseph Ravoahangy Andrianavalona Hospital (JRA) &#x2013; March&#x2013;April 2019] as well as three in provincial cities [Mahajanga Androva Hospital (MAH) &#x2013; September&#x2013;November 2018], Toamasina [Morafeno Hospital (TOA) &#x2013; August&#x2013;November 2018] and Ambatondrazaka [Alaotra Mangoro Hospital (AMB) December 2018 to March 2019] (<xref ref-type="fig" rid="F1">Figure 1A</xref>). The laboratories of all these 6 hospitals have been included in the study as they are part of the RESAMAD network, Madagascar and have a history of working with shared protocols.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Study characteristics. <bold>(A)</bold> Geographical situation of cities involved in the project in Madagascar. <bold>(B)</bold> Flow chart representing the evolution of the number of isolates along study progress.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-786146-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>Microbiology and Resistance Profile Assessment</title>
<p>In each hospital laboratory, samples were plated immediately on MacConkey Agar supplemented with 4 g/L cefotaxime and cultured overnight at 35&#x00B0;C &#x00B1; 2&#x00B0;C. For each plate showing growth, three separate <italic>E. coli</italic> presumptive colonies were selected and tested for indole production. Confirmation of ESBL production was performed by double disk synergy testing (amoxicillin/clavulanic acid, cefotaxime, cefepime, and ceftazidime). Indole positive isolates showing a synergy between amoxicillin/clavulanic acid and cephalosporins were stored in stock culture agar (Bio-Rad, Marnes-La-Coquette, France) and shipped to France (<xref ref-type="bibr" rid="B58">World Health Organization [WHO], 2021</xref>).</p>
<p>At Fondation M&#x00E9;rieux (Lyon, France) the identification of the indole-positive isolates was verified on a Vitek 2 Compact system (bioM&#x00E9;rieux, Marcy-l&#x2019;Etoile, France). Antimicrobial susceptibility was determined by the disk diffusion method on Mueller-Hinton agar according to CASFM/EUCAST recommendations (<xref ref-type="bibr" rid="B13">European Committee on Antimicrobial Susceptibility Testing, Clinical breakpoints, 2019</xref>). The following antimicrobial agents were tested: amoxicillin, amoxicillin/clavulanic acid, ticarcillin, ticarcillin/clavulanic acid, piperacillin, piperacillin/tazobactam, cefotaxime, cefalexin, ceftazidime, cefepime, cefoxitin, aztreonam, temocillin, mecillinam, imipenem, meropenem, ertapenem, fosfomycin, colistin, chloramphenicol, nalidixic acid, ofloxacin, ciprofloxacin, levofloxacin, amikacin, gentamicin, netilmicin, tobramycin, tetracycline, sulfonamides, trimethoprim, and trimethoprim/sulfamethoxazole.</p>
</sec>
<sec id="S2.SS3">
<title>Epidemiological Data Collection</title>
<p>The following data were collected: age, address (limited to the district to preserve anonymity), level of education, access to electricity, water and toilets, presence of pet or farm animals, recent intake of antibiotics (in the last 3 months). Rainfall and mean temperatures corresponding to the time of sampling in each sampling location, were retrieved from <ext-link ext-link-type="uri" xlink:href="https://www.historique-meteo.net/afrique/madagascar">https://www.historique-meteo.net/afrique/madagascar</ext-link>.</p>
</sec>
<sec id="S2.SS4">
<title>Whole Genome Sequencing</title>
<sec id="S2.SS4.SSS1">
<title>Illumina Technology</title>
<p>For each pregnant woman, all isolates with distinct antibiotic profiles, based on the susceptibility of 32 antibiotics on the antibiogram, were selected for whole genome sequencing (WGS). Nucleic acid extraction was performed using the QIAamp DNA Mini Kit (Qiagen, Les Ulis, France). Whole genome sequencing was performed on a NextSeq platform (Illumina, San Diego, CA, United States) using the Celero DNA-Seq PCR free kit (NuGen Technologies, Redwood, CA, United States) for library preparation and on a MiniSeq system (Illumina) using the NextEra DNA Flex Library Prep kit for library preparation (Illumina). Contigs were assembled with SPAdes genome assembler v.3.11.0 and contigs longer than 500 bp were further analyzed. Serotypes and Sequence types (ST) were determined using SerotypeFinder v.1.0.0 (<xref ref-type="bibr" rid="B22">Joensen et al., 2015</xref>) and MLST Finder v1.8 (<xref ref-type="bibr" rid="B25">Larsen et al., 2012</xref>) (Warwick University ST scheme), respectively (from the Center for Genomic Epidemiology)<sup><xref ref-type="fn" rid="footnote1">1</xref></sup>. ST complexes (STc) were determined using the EnteroBase<sup><xref ref-type="fn" rid="footnote2">2</xref></sup>. Identification of resistance genes and plasmid replicons was performed using ResFinder v.2020-10-20 (<xref ref-type="bibr" rid="B60">Zankari et al., 2012</xref>) (with 90% threshold ID and 60% minimum overlapping gene length) and PlasmidFinder v.2020-07-13 (<xref ref-type="bibr" rid="B6">Carattoli et al., 2014</xref>) (with 95% threshold ID and 60% minimum overlapping gene length), respectively. Chromosomal or plasmid localization of ESBL encoding genes was predicted using PlaScope v1.3.1 which compares contigs from an assembly to complete chromosome and plasmid sequences from curated databases and then classifies them into three categories: &#x201C;chromosome,&#x201D; &#x201C;plasmid,&#x201D; and &#x201C;unclassified&#x201D; (<xref ref-type="bibr" rid="B40">Royer et al., 2018</xref>). Phylogroups were determined using the standalone version of the ClermonTyping program (<xref ref-type="bibr" rid="B2">Beghain et al., 2018</xref>). Virulence genes were detected using the Abricate software (v.0.9.8) (<xref ref-type="bibr" rid="B5">Bourrel et al., 2019</xref>) to query Virulence Finder v. 2016-02-18 (<xref ref-type="bibr" rid="B21">Joensen et al., 2014</xref>) and VfDB v. 2018-11-05 (<xref ref-type="bibr" rid="B28">Liu et al., 2019</xref>) databases and an in house developed virulence factors database (<xref ref-type="bibr" rid="B5">Bourrel et al., 2019</xref>). A minimum spanning tree was constructed using the MSTreeV2 algorithm of GrapeTree software v. 1.5.0 (<xref ref-type="bibr" rid="B61">Zhou et al., 2018</xref>). Roary software v3.12 (<xref ref-type="bibr" rid="B35">Page et al., 2015</xref>) and PhyML v3.3.20180621 (<xref ref-type="bibr" rid="B15">Guindon et al., 2010</xref>) (GTR model, estimated proportion of invariable sites and 1000 bootstraps) were used to construct a maximum likelihood phylogenetic tree. A maximum-likelihood phylogenetic tree was built using the complete genome of <italic>Escherichia fergusonii</italic> strain ATCC35471 (GenBank accession number: <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="GCA_012811895.1">GCA_012811895.1</ext-link>) as the root. A maximum-likelihood phylogenetic tree of phylogenetic group A isolates was constructed using Fast hierarchical Bayesian analysis of population structure (fastBAPS) and rooting on the <italic>E. coli</italic> B1 strain 55989 (GenBank accession number: <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="GCA_000026245.1">GCA_000026245.1</ext-link>). Figures were generated using iTOL v6.3 (<xref ref-type="bibr" rid="B26">Letunic and Bork, 2007</xref>). SNPs were calculated by Parsnp v1.12 (<xref ref-type="bibr" rid="B51">Treangen et al., 2014</xref>). Following the literature, a cut-off of 10 SNPs was chosen to consider isolates as closely related (<xref ref-type="bibr" rid="B43">Sch&#x00FC;rch et al., 2018</xref>).</p>
</sec>
<sec id="S2.SS4.SSS2">
<title>Oxford Nanopore Technology</title>
<p>Isolates containing IncY replicons were sequenced using Nanopore technology, in order to reconstruct the plasmids by combining the long reads generated by Nanopore and the high accuracy of Illumina reads. Nucleic acid extraction was performed using the MasterPure Complete DNA and RNA Purification kit (Lucigen, Middleton, WI, United States). Libraries were prepared using SQK-LSK109 kit (Oxford Nanopore Technologies, Oxford, United Kingdom). Whole genome sequencing was performed on a MinION platform (Oxford Nanopore Technologies). Plasmid sequences were reconstructed using Illumina and Nanopore reads with Unicycler v0.4.9b software (<xref ref-type="bibr" rid="B53">Wick et al., 2017</xref>). All plasmid sequences were compared using BLAST v2.8.0. Annotation was performed using PROKKA v1.16.6 (<xref ref-type="bibr" rid="B45">Seemann, 2014</xref>). Graphic presentation was generated with BRIG v0.95 (<xref ref-type="bibr" rid="B1">Alikhan et al., 2011</xref>).</p>
</sec>
</sec>
<sec id="S2.SS5">
<title>Statistical Analysis</title>
<p>Descriptive statistics included counts and percentages for the description of binary variables, and median and interquartile range for quantitative variables. Factors associated with ESBL-<italic>E. coli</italic> carriage were identified with univariable logistic regressions with carriage as dependent variable. We reported odds-ratio estimates with 95% profile confidence intervals and <italic>p</italic>-values from the likelihood ratio test. In order to take into account center heterogeneity, we also used mixed logistic regression with a random intercept corresponding to the recruiting center (<italic>n</italic> = 6 centers) and estimated with Laplace approximation of likelihood. We also provided profile 95% confidence intervals and <italic>p</italic>-values from the likelihood ratio test. The threshold for statistical significance was 0.05 and all analysis were performed with R software v4.0.5.</p>
<p>To assess the correlation between the phenotypical resistance and the resistant gene content and to visualize co-resistance patterns, a correlation matrix for binary variables was built using the corr.test function (Pearson method) from the psych R package version 2.1.9 (susceptible = 0, intermediate/resistant = 1 for phenotypic resistance and absence = 0, presence = 1 for resistance genes). Correlations were visualized using the corrplot R package version 0.9.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Prevalence and Variables Associated With Extended-Spectrum Beta-Lactamase-<italic>E. coli</italic> Carriage</title>
<p>In total, 492 pregnant women were enrolled in the study (<xref ref-type="table" rid="T1">Table 1</xref>), 289 participants being from the capital and 203 from the study&#x2019;s provincial cities. Of the total group, 166 (34%) were colonized with ESBL-<italic>E. coli</italic> with significant differences in prevalence between various centers (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Characteristics of pregnant women enrolled and of weather conditions during sampling in Madagascar, July 2018 to April 2019 (<italic>n</italic> = 492).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variable</td>
<td/>
<td valign="top" align="center"><italic>N</italic> (%) or med (Q1&#x2013;Q3)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years, missing = 1)</td>
<td valign="top" align="center">&#x2264;20</td>
<td valign="top" align="center">71 (14)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">21&#x2013;25</td>
<td valign="top" align="center">155 (32)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">26&#x2013;30</td>
<td valign="top" align="center">147 (30)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x003E;30</td>
<td valign="top" align="center">118 (24)</td>
</tr>
<tr>
<td valign="top" align="left">Site</td>
<td valign="top" align="center">TOA</td>
<td valign="top" align="center">66 (13)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">TSA</td>
<td valign="top" align="center">99 (20)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">JRB</td>
<td valign="top" align="center">100 (20)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">JRA</td>
<td valign="top" align="center">90 (18)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">MAH</td>
<td valign="top" align="center">100 (20)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">AMB</td>
<td valign="top" align="center">37 (8)</td>
</tr>
<tr>
<td valign="top" align="left">Season</td>
<td valign="top" align="center">Dry</td>
<td valign="top" align="center">338 (69)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Wet</td>
<td valign="top" align="center">154 (31)</td>
</tr>
<tr>
<td valign="top" align="left">Rainfall (mm)</td>
<td/>
<td valign="top" align="center">14 (1&#x2013;150)</td>
</tr>
<tr>
<td valign="top" align="left">Mean T (&#x00B0;C)</td>
<td/>
<td valign="top" align="center">21 (18&#x2013;27)</td>
</tr>
<tr>
<td valign="top" align="left">Study area</td>
<td valign="top" align="center">Capital</td>
<td valign="top" align="center">289 (59)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Province</td>
<td valign="top" align="center">203 (41)</td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="center">Absent or elementary school</td>
<td valign="top" align="center">63 (13)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">High school graduate</td>
<td valign="top" align="center">257 (52)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">University graduate</td>
<td valign="top" align="center">172 (35)</td>
</tr>
<tr>
<td valign="top" align="left">Toilets</td>
<td valign="top" align="center">Shared</td>
<td valign="top" align="center">281 (57)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Private</td>
<td valign="top" align="center">211 (43)</td>
</tr>
<tr>
<td valign="top" align="left">Electricity access</td>
<td/>
<td valign="top" align="center">442 (90)</td>
</tr>
<tr>
<td valign="top" align="left">Drinking water access</td>
<td valign="top" align="center">Private</td>
<td valign="top" align="center">140 (29)</td>
</tr>
<tr>
<td valign="top" align="left">(Missing = 1)</td>
<td valign="top" align="center">Shared</td>
<td valign="top" align="center">351 (71)</td>
</tr>
<tr>
<td valign="top" align="left">Pets or farm animals</td>
<td/>
<td valign="top" align="center">234 (48)</td>
</tr>
<tr>
<td valign="top" align="left">Recent antibiotic intake</td>
<td/>
<td valign="top" align="center">70 (14)</td>
</tr>
<tr>
<td valign="top" align="left">ESBL-<italic>E. coli</italic> carriage</td>
<td/>
<td valign="top" align="center">166 (34)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>JRB, Antananarivo &#x2013; Joseph Raseta Befelatanana Hospital; TSA, Antananarivo &#x2013; M&#x00E8;re-Enfant Tsaralalana Hospital; JRA, Antananarivo &#x2013; Joseph Ravoahangy Andrianavalona Hospital; MAH, Mahajanga &#x2013; Androva Hospital; TOA, Toamasina &#x2013; Morafeno Hospital; and AMB, Ambatondrazaka &#x2013; Alaotra Mangoro Hospital.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Factors associated with ESBL-<italic>E. coli</italic> carriage in pregnant women in Madagascar, 2018&#x2013;2019.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variable</td>
<td/>
<td valign="top" align="center">N carriers/N total (%)</td>
<td valign="top" align="center" colspan="2">Univariable logistic regression<hr/></td>
<td valign="top" align="center" colspan="2">Mixed logistic regression<hr/></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">OR (95% CI)</td>
<td valign="top" align="center"><italic>p</italic></td>
<td valign="top" align="center">OR (95% CI)</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">&#x2264;20</td>
<td valign="top" align="center">29/71 (41)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center"><bold>0.039</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">21&#x2013;25</td>
<td valign="top" align="center">54/155 (35)</td>
<td valign="top" align="center">0.8 (0.4&#x2013;1.4)</td>
<td/>
<td valign="top" align="center">0.8 (0.4&#x2013;1.5)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">26&#x2013;30</td>
<td valign="top" align="center">45/147 (31)</td>
<td valign="top" align="center">0.6 (0.4&#x2013;1.2)</td>
<td/>
<td valign="top" align="center">0.5 (0.2&#x2013;0.9)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x003E;30</td>
<td valign="top" align="center">38/118 (32)</td>
<td valign="top" align="center">0.7 (0.4&#x2013;1.3)</td>
<td/>
<td valign="top" align="center">0.5 (0.2&#x2013;0.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Site</td>
<td valign="top" align="center">TOA</td>
<td valign="top" align="center">8/66 (12)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center"><bold>&#x003C;0.001</bold></td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">TSA</td>
<td valign="top" align="center">21/99 (21)</td>
<td valign="top" align="center">2.0 (0.8&#x2013;5.0)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">JRB</td>
<td valign="top" align="center">24/100 (24)</td>
<td valign="top" align="center">2.3 (1.0&#x2013;5.8)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">JRA</td>
<td valign="top" align="center">41/90 (46)</td>
<td valign="top" align="center">6.1 (2.7&#x2013;15.1)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">MAH</td>
<td valign="top" align="center">48/100 (48)</td>
<td valign="top" align="center">6.7 (3.0&#x2013;16.5)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">AMB</td>
<td valign="top" align="center">24/37 (65)</td>
<td valign="top" align="center">13.4 (5.1&#x2013;38.5)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Study area</td>
<td valign="top" align="center">Capital</td>
<td valign="top" align="center">86/289 (30)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center"><bold>0.026</bold></td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Province</td>
<td valign="top" align="center">80/203 (39)</td>
<td valign="top" align="center">1.5 (1.1&#x2013;2.2)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Season</td>
<td valign="top" align="center">Dry</td>
<td valign="top" align="center">85/338 (25)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center"><bold>&#x003C;0.001</bold></td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center"><bold>0.009</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Wet</td>
<td valign="top" align="center">81/154 (53)</td>
<td valign="top" align="center">3.3 (2.2&#x2013;4.9)</td>
<td/>
<td valign="top" align="center">2.9 (1.3&#x2013;5.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Rainfall (per 100 mm)</td>
<td/>
<td/>
<td valign="top" align="center">1.4 (1.2&#x2013;1.5)</td>
<td valign="top" align="center"><bold>&#x003C;0.001</bold></td>
<td valign="top" align="center">1.2 (1.0&#x2013;1.3)</td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">mean T (&#x00B0;C)</td>
<td/>
<td/>
<td valign="top" align="center">1.1 (1.1&#x2013;1.2)</td>
<td valign="top" align="center"><bold>&#x003C;0.001</bold></td>
<td valign="top" align="center">1.2 (1.0&#x2013;1.4)</td>
<td valign="top" align="center"><bold>0.018</bold></td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="center">Absent or elementary</td>
<td valign="top" align="center">15/63 (24)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Secondary</td>
<td valign="top" align="center">84/257 (33)</td>
<td valign="top" align="center">1.6 (0.8&#x2013;3.0)</td>
<td/>
<td valign="top" align="center">1.2 (0.6&#x2013;2.5)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">University or graduate</td>
<td valign="top" align="center">67/172 (39)</td>
<td valign="top" align="center">2.0 (1.1&#x2013;4.0)</td>
<td/>
<td valign="top" align="center">1.4 (0.7&#x2013;2.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Toilets</td>
<td valign="top" align="center">Shared</td>
<td valign="top" align="center">90/281 (32)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Private</td>
<td valign="top" align="center">76/211 (36)</td>
<td valign="top" align="center">1.2 (0.8&#x2013;1.7)</td>
<td/>
<td valign="top" align="center">0.9 (0.6&#x2013;1.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Electricity access</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">22/48 (46)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center"><bold>0.046</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">143/442 (32)</td>
<td valign="top" align="center">0.6 (0.3&#x2013;1.0)</td>
<td/>
<td valign="top" align="center">0.5 (0.3&#x2013;1.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Drinking water access</td>
<td valign="top" align="center">Private</td>
<td valign="top" align="center">51/140 (36)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.49</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Shared</td>
<td valign="top" align="center">115/351 (33)</td>
<td valign="top" align="center">0.9 (0.6&#x2013;1.3)</td>
<td/>
<td valign="top" align="center">1.2 (0.8&#x2013;1.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pets or farm animals</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">84/258 (33)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">82/234 (35)</td>
<td valign="top" align="center">1.1 (0.8&#x2013;1.6)</td>
<td/>
<td valign="top" align="center">1.1 (0.7&#x2013;1.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Recent antibiotic intake</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">140/421 (33)</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">1 (ref)</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">25/70 (36)</td>
<td valign="top" align="center">1.1 (0.6&#x2013;1.9)</td>
<td/>
<td valign="top" align="center">1.0 (0.6&#x2013;1.8)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>JRB, Antananarivo &#x2013; Joseph Raseta Befelatanana Hospital; TSA, Antananarivo &#x2013; M&#x00E8;re-Enfant Tsaralalana Hospital; JRA, Antananarivo &#x2013; Joseph Ravoahangy Andrianavalona Hospital; MAH, Mahajanga &#x2013; Androva Hospital; TOA, Toamasina &#x2013; Morafeno Hospital; and AMB: Ambatondrazaka &#x2013; Alaotra Mangoro Hospital. Significant p values are in bold.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="S3.SS1.SSS1">
<title>Variables Associated With Extended-Spectrum Beta-Lactamase-<italic>E. coli</italic> Carriage</title>
<p>In Antananarivo, prevalence in the three maternity wards differed, ranging from 21% (TSA Hospital) to 46% (JRA Hospital). Comparing ESBL-<italic>E. coli</italic> prevalence by city, prevalence was highest in Ambatondrazaka (65%, 24/37), followed by Mahajanga (48%, 48/100), Antananarivo (29.8%, 86/289) and Toamasina (12%, 8/66), (<italic>p</italic> &#x003C; 0.001). Other factors associated with ESBL-<italic>E. coli</italic> carriage from the univariable analysis were sampling season (OR = 3.3 for the wet season, 95% CI 2.2&#x2013;4.9, <italic>p</italic> &#x003C; 0.001), rainfall (OR = 1.4, 95% CI 1.2&#x2013;1.5, <italic>p</italic> &#x003C; 0.001) and temperature (OR = 1.1 95% CI 1.1&#x2013;1.2, <italic>p</italic> &#x003C; 0.001). After taking into account center heterogeneity with mixed logistic regression, the association of ESBL-<italic>E. coli</italic> carriage with the wet season (OR = 2.9, 95% CI 1.3&#x2013;5.6, <italic>p</italic> = 0.009), warmth (OR = 1.2 per&#x00B0;C, 95% CI 1.0&#x2013;1.4, <italic>p</italic> = 0.018) and rainfall (OR = 1.2 per 100 mm, 95% CI 1.0&#x2013;1.3, <italic>p</italic> = 0.056 borderline significant), was confirmed (<xref ref-type="table" rid="T2">Table 2</xref>). Sensitivity analysis with mixed logistic regression also revealed that older age and access to electricity were associated with a lower risk of carriage (<italic>p</italic> = 0.039 and 0.046, respectively). Other associations were only slightly modified (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
</sec>
<sec id="S3.SS2">
<title>Extended-Spectrum Beta-Lactamase-<italic>E. coli</italic> Characterization</title>
<p>Among the 305 isolates received in France from the 166 ESBL-<italic>E. coli</italic> positive pregnant women, 280 were subjected to antibiotic susceptibility testing, of which, 112 were considered duplicates. In all, 168 isolates from 144 participants were selected for further phenotypic and genomic analysis (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
<sec id="S3.SS2.SSS1">
<title>Antibiotic Resistance</title>
<p>Concerning beta-lactams, 11.9% (<italic>n</italic> = 20) of the isolates were resistant or showed intermediate susceptibility to piperacillin/tazobactam, and 0.6% (<italic>n</italic> = 1) to imipenem. Concerning other antibiotic classes, 6% (<italic>n</italic> = 10) of the isolates were resistant or intermediately resistant to amikacin, 25.6% (<italic>n</italic> = 43) to gentamicin, 70.8% (<italic>n</italic> = 119) to co-trimoxazole and 82% (<italic>n</italic> = 137) to ciprofloxacin (<xref ref-type="fig" rid="F2">Figure 2A</xref> and <xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Prevalence of phenotypic antibiotic resistance and correlation to resistance genotype. <bold>(A)</bold> Prevalence of phenotypic antibiotic resistance. <bold>(B)</bold> Prevalence of antibiotic resistance genes. Percentages correspond to resistant and intermediately resistant isolates for each antibiotic. Red, beta-lactams; blue, aminoglycosides; green, fluoroquinolones; brown, folate synthesis inhibitors. <bold>(C)</bold> Correlation matrix between resistance phenotype and genotype. Blue circles represent significant positive correlations. Red circles represent significant negative correlations. Blank squares represent correlations without statistical significance. Circle size and color darkness represent the value of the correlation coefficient. AMC, amoxicillin/clavulanic acid; PTZ, piperacillin/tazobactam; CTX, cefotaxime; CAZ, ceftazidime; FEP, cefepime; FOX, cefoxitin; ATM, aztreonam; IMI, imipenem; ETP, ertapenem; CHL, chloramphenicol; OFX, ofloxacin; CIP, ciprofloxacin; AKN, amikacin; GEN, gentamicin; TET, tetracycline; SXT, sulfamethoxazole/Trimethoprim.</p></caption>
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</fig>
</sec>
<sec id="S3.SS2.SSS2">
<title>Resistance Genes</title>
<p>The ESBL phenotype was due in all cases to a <italic>bla</italic><sub>CTX&#x2013;M</sub> gene (<xref ref-type="fig" rid="F2">Figure 2B</xref>) with 89.9% (<italic>n</italic> = 151) belonging to the CTX-M-1 group, 9.5% (<italic>n</italic> = 16) to the CTX-M-9 group, and 0.6% (<italic>n</italic> = 1) to the CTX-M-2 group. CTX-M genes were predicted as chromosomally located in 31% of the isolates (<italic>n</italic> = 52). No TEM or SHV ESBL genes were detected. The most frequent <italic>bla</italic><sub><italic>CTX&#x2013;M</italic></sub> gene was by far <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub> (85.7%, <italic>n</italic> = 144), followed by <italic>bla</italic><sub><italic>CTX&#x2013;M&#x2013;</italic>27</sub> (8.3%, <italic>n</italic> = 14), <italic>bla</italic><sub><italic>CTX&#x2013;M&#x2013;</italic>55</sub> (2.4%, <italic>n</italic> = 4), <italic>bla</italic><sub><italic>CTX&#x2013;M&#x2013;</italic>3</sub> and <italic>bla</italic><sub><italic>CTX&#x2013;M&#x2013;</italic>14</sub> (1.2%, <italic>n</italic> = 2 each) and <italic>bla</italic><sub><italic>CTX&#x2013;M&#x2013;</italic>1</sub> and <italic>bla</italic><sub><italic>CTX&#x2013;M&#x2013;</italic>124</sub> (0.6%, <italic>n</italic> = 1 each). A high proportion of the isolates (54.2%, <italic>n</italic> = 91) carried both a <italic>bla</italic><sub><italic>CTX&#x2013;M</italic></sub> gene and the penicillinase <italic>bla</italic><sub><italic>TE</italic><italic>M&#x2013;</italic>1<italic>B</italic></sub> gene. Three isolates harbored the plasmid borne cephalosporinase gene <italic>bla<sub><italic>CMY&#x2013;</italic>2</sub></italic>. The isolate, resistant to carbapenems, carried the metalo beta-lactamase gene <italic>bla<sub><italic>NDM&#x2013;</italic>5</sub></italic> and was retrieved from a pregnant woman from the city of Mahajanga.</p>
<p>We observed co-resistance to other antibiotic classes in 98% (<italic>n</italic> = 165) of the strains. The most frequent resistance genes associated with the ESBL profile were from <italic>sul</italic> and <italic>dfr</italic> families, identified in 71.4% (<italic>n</italic> = 120) and 72.6% (<italic>n</italic> = 122) of the isolates, respectively (<xref ref-type="fig" rid="F2">Figure 2B</xref>). In 95% of those (<italic>n</italic> = 118) presence of a <italic>sul</italic> gene was associated with that of a <italic>dfr</italic> gene, conferring resistance to trimethoprim/sulfamethoxazole.</p>
<p>The fluoroquinolone resistance gene qnrS1 was identified in a high proportion of the isolates (66.1%, <italic>n</italic> = 111). Other fluoroquinolone resistance mechanisms were point mutations, observed in 39.3% (<italic>n</italic> = 66) of the isolates, mainly gyrA S83L, gyrA D87N and parC S80I (<xref ref-type="fig" rid="F2">Figure 2B</xref> and <xref ref-type="supplementary-material" rid="TS2">Supplementary Table 2</xref>).</p>
<p>Acquired resistance genes and mutations detected by WGS were strongly correlated with phenotypic resistance (<xref ref-type="fig" rid="F2">Figure 2C</xref>). Some associations were observed because of the co-occurrence of genes on common mobile genetic elements resulting in co-resistance phenotypes.</p>
</sec>
<sec id="S3.SS2.SSS3">
<title>Phylogeny</title>
<p>Most of the isolates (89.9%, <italic>n</italic> = 151) belonged to phylogenetic groups associated with commensalism including A (72%, <italic>n</italic> = 121), B1 (16.1%; <italic>n</italic> = 27) and C (1.8%, <italic>n</italic> = 3) and in much lesser extent to phylogenetic groups associated with extra-intestinal virulence D (6%, <italic>n</italic> = 10), B2 (3%, <italic>n</italic> = 5) and F (1.2%, <italic>n</italic> = 2).</p>
<p>Multi locus sequence typing revealed 63 different sequence types (ST) gathered in 17 clonal complexes (STc), the most frequent being STc10/phylogroup A (35.1% of the isolates, <italic>n</italic> = 59), STc155/phylogroup B1 (6.5%, <italic>n</italic> = 11), STc38/phylogroup D (4.2%, <italic>n</italic> = 7) and STc131/phylogroup B2 (3%, <italic>n</italic> = 5) (<xref ref-type="supplementary-material" rid="TS3">Supplementary Table 3</xref>). Isolates from STc155 were mainly ST155 (<italic>n</italic> = 8, 73%) and ST58 (<italic>n</italic> = 2, 18%). All isolates from phylogenetic group B2 belonged to ST131, 4/5 were O25:H4 serotype and one O16:H5 serotype.</p>
<p>The ST minimum spanning tree showed important genetic diversity among isolates. No ST clustering was observed related to the geographical origin of the isolates (<xref ref-type="fig" rid="F3">Figure 3</xref>). Mapping of ESBL-<italic>E. coli</italic> carriers residing in Antananarivo (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>) did not show geographical ST clustering in the capital either.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Minimum spanning tree based on MLST analysis of 168 sequenced isolates from pregnant women. Minimum spanning tree colors are coded by the geographical origin of the isolates. Labels indicate the sequence types. Distances are labeled as numbers on the branches.</p></caption>
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<p>A phylogenetic tree based on the core genome (2,459,304 bp for a total of 2,532 genes) was constructed. It showed a main group of 121 isolates from phylogenetic group A (<xref ref-type="fig" rid="F4">Figure 4</xref> and <xref ref-type="supplementary-material" rid="FS2">Supplementary Figure 2</xref>). Seven of those, of different geographical origin clustered between isolates from phylogenetic groups D and C. This sub-group contains four isolates from ST5044, one from ST6798, one from ST8130 and a new ST, found respectively, in 7, 3, and 1 instance in the EnteroBase database, all detected in developing countries.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Phylogenetic tree based on core genome sequences of the 168 ESBL<italic>-E. coli</italic> isolates. The tree has been constructed with <italic>E. fergusonii</italic> used as the root. Isolates names are highlighted depending on their phylogenetic group (inner ring). Colored strips represent the geographical origin of the isolates (ring two) and the CTX-M enzyme detected (ring four). STs are given in the third ring. The penultimate ring represents the genomic location of the CTX-M gene. The outer ring represents the plasmid replicon detected in each isolate.</p></caption>
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</fig>
<p>Analysis using fastBAPS and based on the SNP-based phylogenetic tree of isolates from phylogenetic group A only, revealed a high level of diversity with 73 fastBAPS sub-groups identified (<xref ref-type="supplementary-material" rid="FS3">Supplementary Figure 3</xref>).</p>
<p>A phylogenetic tree was constructed for isolates from each participant site and confirmed the dissemination of genetically diverse isolates independently of their geographical origin (<xref ref-type="supplementary-material" rid="FS4">Supplementary Figure 4</xref>). No significant clustering of isolates depending on their origin has been observed.</p>
</sec>
<sec id="S3.SS2.SSS4">
<title>Similarity Matrix</title>
<p>A similarity matrix based on the core-genome was generated and was used to construct a heat map of isolates differing from each other of up to 20 SNPs. Isolates differing from &#x2264;10 SNPs were explored in more detail (<xref ref-type="fig" rid="F5">Figure 5</xref>). For each sampling location we found a limited number of strains with less than 10 SNPs: 12/82 (14.6%) in Antananarivo, 6/34 (17.7%) in Ambatondrazaka, 2/47 (4.3%) in Mahajanga and none (0/5) in Toamasina. The four couples from Ambatondrazaka differing with &#x2264;10 SNPs belonged to ST7152, ST1716, ST5307 and ST450, the one from Mahajanga belonged to ST1312. In Antananarivo 4 and 2 closely related isolates belonged to ST450, and the three other couples belonged to ST361, ST224 and an unknown ST. All of them were isolated from participants living in different districts of Antananarivo (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Heat map of SNP differences between ESBL-<italic>E. coli</italic> isolates grouped by geographical origin. Numbers of SNPs in the core genome between different sequenced isolates were interpreted as a distance matrix. Colors in the heat map represent SNP differences as shown in the legend at the top left. The colors of the isolate names indicate their geographical origin.</p></caption>
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<p>Some closely related isolates with &#x2264;10 SNPs were also retrieved from different cities, with six ST450 detected in Antananarivo and Ambatondrazaka (2&#x2013;10 SNPs) and three other ST450 isolates detected in Antananarivo and Mahajanga (2&#x2013;3 SNPs). The two remaining ST450 isolates from Mahajanga were unrelated to the other ST450 isolates (more than 3000 SNPs difference).</p>
<p>Four closely related isolates of ST361 (&#x2264;6 SNPs) and three of ST542 (&#x2264;9SNPs), were retrieved in three of the four cities: the former in Antananarivo, Mahajanga and Ambatondrazaka and the latter in Mahajanga, Ambatondrazaka and Toamasina. Two other closely related couples were retrieved in two different cities and belonged to ST38 and ST48 (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Wireframe diagram showing connections between isolates differing of less than 10 SNPs. The colors of the isolate names indicate their geographical origin. Inter-connections length is independent of the number of SNPs difference between isolates. Numbers on lines indicate the number of SNP differences. Colored lines and numbers indicate distances between closely related isolates from different sampling sites.</p></caption>
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</fig>
</sec>
<sec id="S3.SS2.SSS5">
<title>Virulence Genes</title>
<p>Few virulence genes were detected and belonged mostly to pathways involved in adhesion and iron acquisition (<xref ref-type="fig" rid="F7">Figure 7A</xref>). Isolates from commensal phylogenetic groups A, B1, and C carried an average of 7.5, 7.3, and 5.7 virulence genes per isolate while isolates from extra-intestinal virulent phylogenetic groups B2, D, and F carried an average of 19.8, 15.3, and 11 genes, respectively (<xref ref-type="fig" rid="F7">Figure 7B</xref>). The most frequent genes were the adherence factor <italic>fdeC</italic> (82.1%, <italic>n</italic> = 138) and <italic>fimH</italic> (78%, <italic>n</italic> = 131). Toxin genes such as <italic>usp</italic> (uropathogenic-specific protein), <italic>cnf1</italic> (cytotoxic necrotizing factor 1), and <italic>hlyA</italic> (hemolysin A) were detected mainly in isolates from the B2 phylogenetic group and accounted for 3% (<italic>n</italic> = 5), 1.2% (<italic>n</italic> = 2), and 2.4% (<italic>n</italic> = 4), respectively. Isolates belonging to ST450 (phylogenetic group A) shared a highly similar pattern of 7 virulence genes (<italic>fyuA, irp, iucA, iutA, traT, ompT</italic>, and <italic>sat</italic>), (<xref ref-type="supplementary-material" rid="FS3">Supplementary Figure 3</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Distribution of virulence genes among ESBL-<italic>E. coli</italic> isolates. <bold>(A)</bold> Distribution of virulence genes per strain among the five main functional classes of virulence. <bold>(B)</bold> Mean number of virulence genes per isolate depending on the phylogenetic group.</p></caption>
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</fig>
</sec>
<sec id="S3.SS2.SSS6">
<title>Plasmid Analysis</title>
<p>Plasmid replicon analysis revealed a total of 191 replicons in the 168 isolates (1.1 replicons per isolate on average). The most frequent plasmids were from the IncF incompatibility group, found in 49% of the isolates (<italic>n</italic> = 82), followed by IncY in 23% of the isolates (<italic>n</italic> = 38) and Col (16%, <italic>n</italic> = 27) (<xref ref-type="fig" rid="F8">Figure 8A</xref>). Ninety isolates (53.6%) harbored a single plasmid replicon type, whereas two or more plasmid replicons were identified in 47 isolates (28%). No plasmid replicon was found in 31 isolates (18.4%) suggesting a chromosomal location of the ESBL-encoding gene (<xref ref-type="fig" rid="F8">Figure 8B</xref>). Indeed, for 18 of these the CTX-M location was predicted as chromosomic but as plasmidic for the remaining 13.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption><p>Prevalence of plasmid replicons detected in ESBL-<italic>E. coli</italic> isolates. The sum of the different plasmid replicon prevalence exceeds 100% as some isolates could carry multiple plasmids simultaneously. <bold>(A)</bold> Prevalence of plasmid replicons among the study isolates. <bold>(B)</bold> Histogram depicting the number of plasmids per isolate.</p></caption>
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</fig>
<p>We detected IncY plasmid replicons in 23% (<italic>n</italic> = 38) of the ESBL-<italic>E. coli</italic> isolates and decided to perform whole genome sequencing using Nanopore technology in order to rebuild and compare these plasmids. We first compared Illumina contig sequences containing the IncY replicon and <italic>bla</italic><sub>CTX&#x2013;M</sub>. We then selected 12 isolates for Nanopore sequencing, 6 with sequence diversity and 6 randomly selected from those remaining with sequence homology. The length of the longest IncY sequence retrieved was 103,976 bp and was used as a reference sequence to align the Nanopore or Illumina contigs of the other isolates with IncY replicons. Of the 38 IncY plasmids detected, 32 showed a high similarity (&#x2265;85% identity) (<xref ref-type="fig" rid="F9">Figure 9</xref>). In terms of resistance genes, the reference IncY plasmid carried successively: <italic>tet(A), qnrS1</italic>, <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub>, <italic>bla</italic><sub>TEM&#x2013;1B</sub>, <italic>aph(6)-Id, aph(3&#x201D;)-Ib, sul2, dfrA14</italic> and a second copy of <italic>tet(A)</italic>. In addition, two toxin-antitoxin systems responsible for post-segregational killing were found: the translation inhibition complex Phd-Doc and a mRNA interferase <italic>relE</italic>/<italic>relB</italic>, as well as the lon protease gene responsible for <italic>relE</italic>/<italic>relB</italic> activation. Among other common plasmid genes, we detected partition genes <italic>parA</italic> and <italic>parB</italic> and a <italic>virB</italic> island responsible for conjugation. We did not find any virulence genes carried by these plasmids. Alignment of our IncY reference sequence against GENBANK using BLASTn returned 99.97% sequence identity and 100% coverage with an IncY plasmid from an <italic>E. coli strain</italic> of avian origin isolated in Finland (GenBank accession: <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="LR999865.1">LR999865.1</ext-link>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption><p>Alignment of the 32 IncY plasmid sequences with sequence homology of more than 85%. GC content and GC skew are depicted in the inner map with distance scale. Predicted coding sequences of the reference plasmid named within the circle are depicted in the outer ring with antimicrobial resistance genes highlighted in red.</p></caption>
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</sec>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Thanks to a structured network of laboratories (RESAMAD), we were able to conduct a large-scale study and then report the first results of the human community component of the Tricycle protocol in Madagascar. Our main results highlight a very high ESBL-<italic>E. coli</italic> carriage rate in healthy pregnant women both in the capital and in province with significant variations related to seasonality. We noted a high genomic diversity of strains carrying the <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub> ESBL gene and belonging mostly to phylogenetic group A.</p>
<p>We chose to conduct the present study in Madagascar because of its specific characteristics. Besides the fact that little is known about ESBL-E in the country, it is a large island in the Indian ocean with a unique ecosystem and an important crossroads between Africa and Asia with significant immigration and commercial exchanges between both continents.</p>
<p>We observed an ESBL-<italic>E. coli</italic> prevalence in pregnant women of 34%, ranging from 12% to 65% depending on the sampling site. Unlike previous studies that focused mainly on the capital Antananarivo and nearby areas, we included three more cities in the provinces to depict a more comprehensive picture of ESBL-E dissemination in the country. Two previous studies conducted in Madagascar, evaluated community carriage of ESBL-E in Antananarivo to 10.1% in 2009 (<xref ref-type="bibr" rid="B18">Herindrainy et al., 2011</xref>) and to 18.5% in 2015 in Antananarivo and adjacent areas (<xref ref-type="bibr" rid="B8">Chereau et al., 2015</xref>). Our study underlines the worsening problem of ESBL dissemination in Madagascar as ESBL-<italic>E. coli</italic> alone was isolated from 34% of the participants which is much higher than previous reports. These results place Madagascar among the countries with the highest rates of ESBL prevalence confirming the global trends of ESBL epidemiology (<xref ref-type="bibr" rid="B4">Bezabih et al., 2021</xref>). This high carriage rate of ESBL-<italic>E. coli</italic> increases the risk of infection caused by ESBL-<italic>E. coli</italic> and, because of probabilistic treatment failures, triggers the use of broad-spectrum beta-lactams such as carbapenems which in its turn drives the spread of carbapenem resistant strains.</p>
<p>The main risk factor for ESBL-<italic>E. coli</italic> carriage that we identified was the wet season, with increased prevalence when rainfall and temperatures are higher. We observed that risk of carriage increased 1.4 times by 100 mm of rainfall and 1.1 times by 1&#x00B0;C of temperature increase. These results are robust with respect to center heterogeneity as shown by the sensitivity analysis with logistic mixed models. Even if this correlation has been described previously in Madagascar (<xref ref-type="bibr" rid="B8">Chereau et al., 2015</xref>) as well as in other parts of the world (<xref ref-type="bibr" rid="B31">MacFadden et al., 2018</xref>; <xref ref-type="bibr" rid="B33">McGough et al., 2020</xref>; <xref ref-type="bibr" rid="B54">Wielders et al., 2020</xref>), in light of the large number of scientific reports on ESBL-E carriage, the climate-related risk factor has rarely been reported. This result could be explained by different factors. First the rainy period is well known as being favorable for fecal-oral route of infectious pathogens transmission and enteric bacteria outbreaks (<xref ref-type="bibr" rid="B9">Chowdhury et al., 2018</xref>; <xref ref-type="bibr" rid="B7">Chao et al., 2019</xref>). In addition, higher prevalence of ESBL-<italic>E. coli</italic> in the rainy and warmer season could further increase horizontal genetic exchanges. It is well established in <italic>in vitro</italic> models that higher growth rates and elevated temperature and humidity are closely related (<xref ref-type="bibr" rid="B37">Ratkowsky et al., 1982</xref>) and could promote horizontal gene transfer (<xref ref-type="bibr" rid="B17">Hashimoto et al., 2019</xref>). Therefore, one could expect an even worse situation in the future with climate change and global warming trends (<xref ref-type="bibr" rid="B52">Ukuhor, 2021</xref>). We found no clear link with socio-economic factors which suggests that ESBL-<italic>E. coli</italic> disseminates evenly in the community in Madagascar mediated by environmental and person to person exchanges. Obviously other factors such as environmental and food contamination may play an important role in the high prevalence of ESBL-E carriage in the human community. It is also important to note that ESBL-E colonizing the gut microbiota of pregnant women can be transmitted to the child during delivery and thus increase the risk of severe ESBL-E infections in newborns (<xref ref-type="bibr" rid="B11">Danino et al., 2018</xref>; <xref ref-type="bibr" rid="B19">Herindrainy et al., 2018</xref>). Indeed, the incidence rate of severe neonatal infections with multidrug-resistant bacteria (mainly ESBL-E) was estimated at 5 cases per 1,000 live births in three developing countries, including Madagascar. Unfortunately, the origin of the bacteria responsible for the infection (mother, family members, and hospital acquisition) was not investigated (<xref ref-type="bibr" rid="B20">Huynh et al., 2021</xref>).</p>
<p>The most frequent ESBL gene identified was by far <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub> which is consistent with global ESBL epidemiology (<xref ref-type="bibr" rid="B3">Bevan et al., 2017</xref>). This is probably due to successful <italic>E. coli</italic> strains carrying <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub> on IncF plasmids, known for their persistence even in the absence of selective pressure (<xref ref-type="bibr" rid="B32">Mah&#x00E9;rault et al., 2019</xref>). A high proportion of blaCTX-M genes (32%) was predicted to be chromosomic which is in agreement with previous studies (<xref ref-type="bibr" rid="B16">Hamamoto and Hirai, 2019</xref>). Chromosomic location provides stabilization of the blaCTX-M gene without additional cost, unlike a plasmid, and could help maintain resistance in the environment, even without selection pressure (<xref ref-type="bibr" rid="B59">Yoon et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Shawa et al., 2021</xref>). Given that the protocol of the study was not designed to specifically target carbapenemase producing <italic>E. coli</italic>, isolation of an NDM-5 producing strain suggests a spread of carbapenemase producing <italic>Enterobacterales</italic> in the community of Mahajanga. To our knowledge, this is the first description of NDM-5 metalo beta-lactamase in Madagascar. Carbapenems are available in the country but their use is limited because of their high price (<xref ref-type="bibr" rid="B18">Herindrainy et al., 2011</xref>). Therefore, isolation of a strain carrying <italic>bla</italic><sub><italic>NDM&#x2013;</italic>5</sub> in the absence of selective pressure is extremely worrying.</p>
<p>The molecular analysis of the isolates revealed a great variety of strains in all the sampling locations which was also observed in other developing countries (<xref ref-type="bibr" rid="B48">Stoesser et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Ramadan et al., 2020</xref>; <xref ref-type="bibr" rid="B14">Foster-Nyarko et al., 2021</xref>). The majority were from commensal phylogenetic groups A with STc10 being the most frequent clonal complex detected. The second most frequent was STc155 (also named CC87 using the Pasteur Institute MLST scheme) with isolates from this STc belonging mainly to ST58 and ST155. STc155 strains are considered of animal origin with an evolution from wild type strains, becoming progressively resistant and, in many cases, later acquiring virulence genes (<xref ref-type="bibr" rid="B47">Skurnik et al., 2016</xref>). Indeed, in recent years multi-drug resistant (MDR) STc155 strains have been isolated with increasing frequency from extra-intestinal infections in humans (<xref ref-type="bibr" rid="B39">Royer et al., 2021</xref>). In our study STc155 isolates carried only a limited number of virulence genes but had already acquired an MDR profile. This finding underlines the importance of animal to human transmission in the dissemination of ESBL-<italic>E. coli</italic> in the community. Our results are consistent with previous reports describing higher prevalence of phylogenetic group A isolates in developing countries in contrast to industrialized countries where phylogenetic group B2 isolates are the most frequent (<xref ref-type="bibr" rid="B12">Duriez et al., 2001</xref>; <xref ref-type="bibr" rid="B50">Tenaillon et al., 2010</xref>). The phylogenetic tree based on a core genome SNP analysis showed a classical distribution of isolates by phylogenetic group except for a subgroup of phylogenetic group A isolates clustering between isolates from phylogenetic groups D and C. This subgroup contains STs found in very limited numbers in the EnteroBase database, which however, includes over 184,000 <italic>E. coli</italic> genomes. This indicates the potential emergence of a distinct sub-group beginning to diverge genetically from phylogenetic group A. As expected, we found few virulence genes belonging mainly to the adhesins group and a small number of toxins which is consistent with the commensal nature of most of the isolates. Even though most isolates belonged to commensal phylogenetic groups and therefore are less likely to cause invasive disease, infections with commensal strains are not uncommon (<xref ref-type="bibr" rid="B27">Leverstein-van Hall et al., 2011</xref>; <xref ref-type="bibr" rid="B10">Dadi et al., 2020</xref>). Also, one can imagine that these ESBL-<italic>E. coli</italic> strains can reside for a long time in the gut microbiota as they are well adapted to their host and thus represent an significant reservoir of resistance genes and a potential source that drives human to human transmission (<xref ref-type="bibr" rid="B49">Tande et al., 2010</xref>).</p>
<p>To analyze more precisely ESBL-<italic>E. coli</italic> dissemination we focused on isolates differing by less than 10 SNPs, a cut-off used in the literature to define closely related isolates (<xref ref-type="bibr" rid="B43">Sch&#x00FC;rch et al., 2018</xref>). Core-genome based SNP analysis revealed a limited number of closely related isolates circulating in each sampling location, which indicates probable inter-human transmission or a common contamination origin. Isolates differing from each other by less than 10 SNPs, especially from ST450 and ST361 have also been observed in different locations. In addition, most inter-city interactions were linked to the capital Antananarivo and to a lesser extent to provincial cities only. Assuming a mutation rate of 1.1 SNP per genome and per year as described elsewhere (<xref ref-type="bibr" rid="B38">Reeves et al., 2011</xref>) and equal mutation rates for all isolates, this finding suggests recent inter-city dissemination events probably due to traveling with journeys to the capital playing a central role in dissemination. Another hypothesis is that some clones, may have lower natural mutation rates than others.</p>
<p>Plasmid content analysis revealed an unusually prevalent IncY plasmid compared to other studies (<xref ref-type="bibr" rid="B29">Lyimo et al., 2016</xref>; <xref ref-type="bibr" rid="B41">Salinas et al., 2019</xref>), suggesting a dissemination in the country of an IncY type plasmid harboring a resistance genes island containing <italic>bla</italic><sub>CTX&#x2013;M&#x2013;15</sub> and six other resistant genes of different antibiotic classes. To our knowledge, this is the first report of such a high prevalence of an IncY plasmid in ESBL-<italic>E. coli</italic> isolates. The extremely high sequence identity shared with an IncY plasmid in an <italic>E. coli</italic> strain isolated in Finland from <italic>Branta leucopsis</italic> (<xref ref-type="bibr" rid="B24">Kurittu et al., 2021</xref>) indicates that migratory birds could represent a powerful means of resistance spread even if a direct link to <italic>E. coli</italic> isolates from Madagascar is unlikely, due to the Northern Hemisphere habitat of this bird species (<xref ref-type="bibr" rid="B34">Owen and Black, 1989</xref>).</p>
<p>The present study has several limitations. First, due to logistic constraints, the sampling in the different hospitals was not performed during the same period. This could introduce a bias as risk factors may differ in different seasons. However, we performed a sensitivity analysis with logistic mixed models that addresses this bias. Second, several samples were eliminated because of transportation issues, but we were still able to perform phenotypic and genotypic analysis on 92% of expected isolates. Third, the Tricycle protocol requires three isolates per pregnant woman but certain participant hospitals did not collect all the three. Moreover, in some cases less than three presumptive ESBL-<italic>E. coli</italic> colonies were present after sample culture. In all, we were able to obtain three isolates in 42% of the participants. Moreover, even when successfully obtained, these three isolates often represent the dominant colonizing strains colonizing and one cannot exclude the existence of extensive in-host genetic diversity among non-dominant bacterial populations. Finally, we were able to sequence by the Nanopore technology only 12 out of 38 isolates carrying IncY plasmid due to budget limitations but we tried to compensate for this by aligning the Illumina reads of the remaining isolates to the IncY sequences reconstructed from the Nanopore sequencing.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>We report here that in 2018&#x2013;2019 more than one third of pregnant women in four study cities in Madagascar were ESBL-<italic>E. coli</italic> carriers, which probably reflects high carriage of ESBL-<italic>E. coli</italic> in the community. As the warmer and rainy season was the main risk factor associated with ESBL-<italic>E. coli</italic> carriage, it is reasonable to assume that the situation could grow even worse with climate change trends. Continued surveillance efforts should be maintained along with public health interventions to, if not reverse, at least slow down the spread of resistance in Madagascar. Our results will have to be reconsidered in a One Health context by linking them to the results of the ESBL <italic>E. coli</italic> prevalence in the food chain and the environment which is the next step of the Tricycle protocol to better understand the complex face of the antimicrobial resistance.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are publicly available. These data can be found here: <ext-link ext-link-type="uri" xlink:href="https://www.ebi.ac.uk/ena/browser/home">https://www.ebi.ac.uk/ena/browser/home</ext-link> (accession number <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJEB48998">PRJEB48998</ext-link>).</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of Ministry of Health, Madagascar. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>MM carried out the experiments, analyzed the results, and wrote the first draft of the manuscript. SR, LVR, RR, RC, CR, ER, and ZR collected the samples and data, and performed the experiments in Madagascar. EW and MP performed the bioinformatic analyses. OC participated in the experiments and analysis of the WGS results. JM performed the statistical analyses. LR, LS, and HE were involved in the implementation of the project in Madagascar and supervised its progress. FK-P managed the implementation of the project and its conduct, and participated in the analysis of the results. AA was involved in the original idea of Tricycle and design of the study. ED was involved in the analysis of the WGS data and revision of the manuscript. LA-L was responsible for the overall direction and planning, supervision of all experiments and results, and writing the manuscript. All authors contributed to the revision of the manuscript and read and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>All the funding has been provided by the Fondation M&#x00E9;rieux (Lyon, France).</p>
</sec>
<ack>
<p>We would like to thank the Oxford Genomics Centre at the Wellcome Centre for Human Genetics (funded by Wellcome Trust, grant reference 203141/Z/16/Z), ViroScan3D (Lyon, France; <ext-link ext-link-type="uri" xlink:href="http://www.viroscan3d.com">www.viroscan3d.com</ext-link>), Profilexpert facility of Universit&#x00E9; Claude Bernard Lyon 1 (<ext-link ext-link-type="uri" xlink:href="http://www.profilexpert.fr">www.profilexpert.fr</ext-link>) for the generation and initial processing of the sequencing data, and Unit&#x00E9; Antibior&#x00E9;sistance et Virulence Bact&#x00E9;riennes, Universit&#x00E9; de Lyon &#x2013; ANSES, Lyon, France, for the welcome and training for the Nanopore run.</p>
</ack>
<sec id="S11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2021.786146/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2021.786146/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="FS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<supplementary-material xlink:href="Data_Sheet_3.PDF" id="FS3" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_4.PDF" id="FS4" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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